Ambitious AI ideas,
built fast.
Practical, end to end. You bring the problem. We ship the thing that solves it.
Violin Labs is chill in temperament and fast in practice.
We take AI from a napkin sketch to a system running in production: agents, models, data pipelines, applied ML. We also build the foundations they run on: lakehouse architectures, governed data platforms, and the migrations that get you there. The whole path, not a slice of it.
Most engagements start the same way. You have a problem you can describe but not yet specify, and a deadline that makes a six-month discovery phase absurd. So we skip it. We'd rather hand you something running in week one than a proposal for something running in month six.
- Agents
- Models
- Data pipelines
- Applied ML
- Lakehouse architecture
- Data migrations
Five moves, in the same order, every time.
Listen
What you do
Tell it to us in your own words. The mess, the constraint, the deadline.
What we do
Ask until we can say your problem back to you better than you said it.
Scope
What you do
Tell us what done looks like, and what it's worth.
What we do
Cut it to what matters. Say out loud what we are not building.
Promise
What you do
Hold us to a date.
What we do
Commit to a date and a shape. Short, honest, in writing.
Design
What you do
Push back on the diagram. It is cheapest to argue here.
What we do
Architect the system before we write it. The diagram has to survive reality.
Deliver
What you do
Use it. Break it. Tell us what's wrong.
What we do
Ship weekly, into production. Working software, not a demo.
Small bets, real prototypes, weekly drops. Scope stays honest and timelines stay short. The bar is whether it works in production, not whether it demos well. If it can be built in a week, it won't take a month.
AI agents and applied ML running live in finance, legal, security, insurance, retail and media.
A Japanese telecom group
Agent Factory
A media spend optimisation agent answering business questions across 166+ tables, serving 400 production users in Japanese. Custom Python engine with deterministic lineage and audit trails.
A global consumer goods brand
Trade Fund Manager
Natural language queries over retail promotion budgets, via calibrated text-to-SQL with memory and access controls.
A private markets valuation platform
Credit Agreement Parser
Pulls loan terms out of 200+ page contracts into normalised schemas, using text segmentation and clause-level tracing.
A private markets valuation platform
Financial Document Parsing
Multimodal extraction with LayoutLM and RCNN, standardising fund and company financials. Cut manual effort by 90%.
A speech analytics company
Call Analyzer
Support call QA scoring across full call volume, combining Whisper ASR with LLM rubric grading.
An enterprise knowledge platform
Legal Clause Finder
Semantic contract search across 1,000+ clause types, built on contrastive embeddings with semantic caching.
A digital insurance carrier
Vehicle Damage Detection
Insurance claim photo classification with YOLO detection and continuous retraining on MLflow and Delta Lake.
An industrial electronics manufacturer
Cybersecurity Sentinel
Vulnerability detection in source code via fine-tuned Llama with automated evaluation, built for a national cyber challenge.
And some things we build for ourselves.
Our own tool
CodePulse
Semantic code context retrieval for Claude Code and Cursor, using PageRank-ranked graphs over MCP.
Our own tool
Datalogist
Maps raw data warehouses into AI-ready schemas through semantic inference and table clustering.
Lakehouses, governed platforms, and the pipelines that feed them. Built to run, not to demo.
Medallion architectures, Unity Catalog governance, legacy migrations, production ML. If it runs on Databricks, we build it.
The country's leading fashion marketplace
Analytics Platform Upgrade
Apache Superset upgrade from 1.3.2 to 4.1.2 with zero dashboard loss and minutes-long rollback. Migrated 100 GB of MySQL metadata across major releases with sequential Alembic migrations and automated validation.
A specialty coffee chain
Lakehouse Consolidation
Unified fragmented Azure and AWS infrastructure into a governed Databricks platform with medallion architecture and Unity Catalog, serving 90+ retail locations.
A global consumer goods brand
Agentic Analytics Platform
Natural language queries over trade fund budgets using text-to-SQL agents, with access controls and audit trails built on Unity Catalog.
A private equity data platform
Snowflake to Databricks Migration
Enterprise data warehouse migration with phased cutover strategy, schema reconciliation, and zero-downtime transition to lakehouse architecture.
A travel booking platform
MongoDB to Delta Lake Migration
Production document database migration at scale, preserving schema flexibility while enabling SQL analytics and full data governance.
A digital insurance carrier
ML Retraining Pipelines
Continuous model retraining for vehicle damage detection, with MLflow experiment tracking and Delta Lake feature versioning.
A leading fintech company
LLM Evaluation Pipeline
Automated model comparison using LLM-as-a-judge scoring on Model Serving, with prompt optimization to determine version improvements.
A metropolitan transit authority
Passenger Traffic Forecasting
Time-series forecasting for rider volume prediction with MLOps workflow, scheduled retraining, and production deployment on Databricks.
We do our best work on hard problems with clear shapes.
The clients we click with know what they want, or trust us to find out. The moments we look forward to are the first working prototype, and the diagram that survives contact with reality.